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crookR: Synthetic Crook Deformations in Stem Point Clouds

Simulates parameterized single- and double-directional stem deformations in tree point clouds derived from terrestrial or mobile laser scanning, enabling the generation of realistic synthetic datasets for training and validating machine learning models in wood defect detection, quality assessment, and precision forestry. For more details see Pires (2025) <doi:10.54612/a.7hln0kr0ta>.

Version:0.1.0
Depends:R (≥ 4.2)
Imports:data.table, stats, utils
Suggests:knitr,lidR,rmarkdown,spelling,testthat (≥ 3.0.0)
Published:2025-11-03
DOI:10.32614/CRAN.package.crookR
Author:Raul de Paula PiresORCID iD [aut, cre]
Maintainer:Raul de Paula Pires <rauldepaulapires at gmail.com>
BugReports:https://github.com/raudep/crookR/issues
License:MIT + fileLICENSE
URL:https://github.com/raudep/crookR
NeedsCompilation:no
Language:en-US
Materials:README
CRAN checks:crookR results

Documentation:

Reference manual:crookR.html ,crookR.pdf
Vignettes:Simulating Crook Deformations (source,R code)

Downloads:

Package source: crookR_0.1.0.tar.gz
Windows binaries: r-devel:crookR_0.1.0.zip, r-release:crookR_0.1.0.zip, r-oldrel:crookR_0.1.0.zip
macOS binaries: r-release (arm64):crookR_0.1.0.tgz, r-oldrel (arm64):crookR_0.1.0.tgz, r-release (x86_64):crookR_0.1.0.tgz, r-oldrel (x86_64):crookR_0.1.0.tgz

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=crookRto link to this page.


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